In this training program, participants will gain awareness of the overall methodology for setting reliability targets, estimating product reliability from test data and/or field data, and determining whether or not reliability targets are achieved. Participants will also learn how to calculate sample sizes for reliability testing.

Why Should You Attend:

Achieving high product reliability has become increasingly vital for manufacturers in order to meet customer expectations amid the threat of strong global competition. Poor reliability can doom a product and jeopardize the reputation of a brand or company. Inadequate reliability also presents financial risks from warranty, product recalls, and potential litigation. When developing new products, it is imperative that manufacturers develop reliability specifications and utilize methods to predict and verify that those reliability specifications will be met. This presents a difficult challenge in many industries with short product cycles and compressed product development timeframes.

This webinar will provide an overview of quantitative methods for predicting product reliability from data gathered from physical testing or from field data.

How to determine appropriate probability distributions to model failure data

How to use reliability models to predict reliability performance

Analyze multiple failure modes to develop overall product reliability

Determine how much data is needed (or testing time) to estimate or demonstrate reliability

Areas Covered in the Webinar:

Reliability Concepts and Reliability Data

Reliability in Product and Process Development

Unique Characteristics of Reliability Data

Censored Data

Setting Reliability Targets

Probability and Statistics Concepts and Reliability Metrics

Probability Distributions (e.g. Weibull, Lognormal, etc.)

Reliability and Failure Probability

Hazard Rate

Mean Time to Failure

Percentiles

Assessing and Selecting Models (Distributions) for Failure Data

Probability Plotting

Identify the Best Distributions

Estimation of Reliability Characteristics

Weibull Analysis (and Other Distributions)

Precision of Estimates/Confidence Intervals

Statistical and Graphical Results

Handling Multiple Failure Modes

Comparing Groups/Designs/Suppliers

Introduction to Reliability Test Planning

Reliability Estimation Test Plans

Reliability Demonstration Test Plans

Introduction to Reliability of Systems

Series Systems

Parallel Systems

K-out-of-n Systems

Complex Systems

Introduction to System Modeling, Reliability Allocation

Other Topics

Warranty Forecasting

Introduction to Accelerated Life Testing

Who Will Benefit:

Anyone with a vested interest in product quality and reliability, such as:

Product Engineers

Reliability Engineers

Design Engineers

Quality Engineers

Quality Assurance Managers

Project/Program Managers

Manufacturing Personnel

Instructor Profile:

Steven Wachs
Principal Statistician, Integral Concepts, Inc

Steven Wachs has 25 years of wide-ranging industry experience in both technical and management positions. He has worked as a statistician at Ford Motor Company where he has extensive experience in the development of statistical models, reliability analysis, designed experimentation, and statistical process control.

Mr. Wachs is currently a Principal Statistician at Integral Concepts, Inc. where he assists manufacturers in the application of statistical methods to reduce variation and improve quality and productivity. He also possesses expertise in the application of reliability methods to achieve robust and reliable products as well as estimate and reduce warranty. Mr. Wachs regularly speaks at industry conferences and provides workshops in industrial statistical methods worldwide.

He has an M.A. in Applied Statistics from the University of Michigan, an M.B.A, Katz Graduate School of Business from the University of Pittsburgh, 1992, and a B.S., Mechanical Engineering from the University of Michigan.

Registrants may cancel up to two working days prior to the course start date and will receive a letter of credit to be used towards a future course up to one year from date of issuance. ComplianceOnline would process/provide refund if the Live Webinar has been cancelled. The attendee could choose between the recorded version of the webinar or refund for any cancelled webinar. Refunds will not be given to participants who do not show up for the webinar. On-Demand Recordings can be requested in exchange.

Webinar may be cancelled due to lack of enrolment or unavoidable factors. Registrants will be notified 24hours in advance if a cancellation occurs. Substitutions can happen any time.

If you have any concern about the content of the webinar and not satisfied please contact us at below email or by call mentioning your feedback for resolution of the matter.

We respect feedback/opinions of our customers which enables us to improve our products and services. To contact us please email customercare@complianceonline.com call +1-888-717-2436 (Toll Free).

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